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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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25 Indicators of Fraud on Inbound Calls

Callminer

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. For more information on fraud prevention through the use of speech analytics and AI, download our white paper, Sitel + CallMiner Survey: Preventing Fraud and Preserving CX with AI.

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Customer Service and Customer Value in Finance and Accountancy

CSM Magazine

” — Marlene Blaszczyk.Todays’ world of finance and accountancy is changing more quickly than ever before. As firms compete to put the customer first, there have been all sorts of different tools created to help improve customer service , drive optimization for accounting processes and maximize overall customer value.

Finance 59
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How to Improve Digital Customer Experience in Banking

REVE Chat Blog

In this digital age, the banks and financial institutions need to be digitally transformed to deliver a consistent customer experience in banking whether it is online or retail. Banks functioning digitally have witnessed reduced costs and streamlined processes. What is customer experience (CX) in Banking? .

Banking 76
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Understanding the role of artificial intelligence in conversation analytics

Tethr

Here at Tethr, we did the original research around effort reduction, artificial intelligence, and conversation analytics nearly ten years ago. Today, we’ll be taking a more technical look into the role of artificial intelligence in conversation analytics, and how we use AI to derive insights from your customer conversations.

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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager, from Schneider Electric. In particular, they are routinely used to store information related to customer accounts.

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.